Hebbia Reviews

DealRoom is a lifecycle management platform for professionals involved in complex finance transactions like M&A. Our platform offers secure data storage, diligence management, and pipeline management. It also allows for overall project management. Our goal is to assist teams in creating a better M&A process. This allows for innovation, value-creation, and the original vision of the deal to be maintained and implemented. Why was DealRoom started? M&A is perhaps the most complex, information-dense and unpredictable process within the corporate sector. Transactions begin with the promise of innovation and value creation by combining the strengths and cultures of two unique entities. However, initial goals are often lost. As deals continue to grow in quantity and transaction size, DealRoom aims to create a more collaborative, people-driven and equitable M&A process that focuses on the original vision of innovation. Mission Statement. How does DealRoom differ from other providers? Unlike other providers, DealRoom has project management capabilities to improve a client’s overall process and eliminate common inefficiencies such as Excel trackers, one-off emails, and unsafe file sharing.

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.